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The Business Development Representative identifies outbound opportunities, qualifies inbound leads, and sets meetings for Account Executives while maintaining CRM records and collaborating with marketing.

Manage and develop M3's Business Development Representative team, drive performance, oversee pipeline contribution, and enforce key standards, while also maintaining individual contributions through 2026.

The Regional Sales Executive promotes M3 software sales, develops business plans, and engages with hospitality customers to meet sales quotas while managing CRM tools and travel for business.

Lead QA for Data & AI features: design and run test strategies for ML/LLM outputs, write data validation in Python/SQL, implement Databricks pipeline checks, automate tests (Katalon/Playwright), validate APIs/ETL, monitor model performance and data drift, and collaborate across Engineering, Product, and Data to define acceptance thresholds and CI/CD quality gates.

Own the product strategy and roadmap for M3's next-generation data platform, focusing on data unification, embedded analytics, AI-driven forecasting, and intelligent automation. Conduct customer discovery with hotel stakeholders, write developer-ready specs and user stories, define success metrics, lead cross-functional execution and go-to-market, and evaluate AI build/partner/acquire options to deliver hospitality-specific intelligence.

Own product marketing strategy: positioning, messaging, competitive intelligence, go-to-market execution, sales enablement, content creation, and cross-functional collaboration to drive adoption and revenue.

The GTM Systems Administrator manages the Salesforce stack, leading system operations, automation, data governance, reporting, and cross-functional collaboration for RevOps.

The Senior Data Engineer will design and build M3's cloud-native data platform, define architecture standards, enforce code quality, and mentor the data team while ensuring data governance and platform scalability.

Responsible for designing, building, deploying, and maintaining production-grade AI and ML solutions in a cloud-native environment, while collaborating with engineering and data teams.

Lead FP&A function, drive annual planning and rolling forecasts, partner with executive and GTM teams, build SaaS metrics and multi-year models, support investor/board reporting, improve FP&A tech stack, and deliver financial analysis for strategic decisions and M&A evaluation.